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Researcher · Temple University · United States

Paul S. LaFollette

Paul S. LaFollette publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering, on topics such as Algorithms and Data Compression, Teaching and Learning Programming and Software Engineering Research.

OpenAlex
World rank
#4,926,555
of 7,710,434 ranked researchers
Rank in United States
#1,283,349
of 1,627,098
Works
19
Citations
229
Citations per work
12.1
h-index
9
i10-index 9Top 49% in Artificial Intelligence
Paul S. LaFollette

What does Paul S. LaFollette research?

Paul S. LaFollette's work is mostly in Computer Science (46%), Engineering (12%), Medicine (8%).

Physical Sciences: 11 works · 57.7% of their workComputer Science: 9 works · 46.2% of their workArtificial Intelligence: 3 works · 17.3% of their workComputer Vision and Pattern Recognition: 3 works · 13.5% of their workComputer Science Applications: 1 works · 7.7% of their workInformation Systems: 1 works · 7.7% of their workEngineering: 2 works · 11.5% of their workBiomedical Engineering: 2 works · 11.5% of their workEverything else: 7 works · 34.6% of their workHealth Sciences: 1 works · 7.7% of their workMedicine: 1 works · 7.7% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 7.7% of their workTHEIR WORKPaul S.LaFollette19works
Physical Sciences58%Health Sciences8%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science946.2%
    2. Engineering211.5%
  2. Everything else734.6%
    1. Medicine17.7%
  1. 1Artificial Intelligence17% of their works
  2. 2Computer Vision and Pattern Recognition14% of their works
  3. 3Biomedical Engineering12% of their works
  4. 4Radiology, Nuclear Medicine and Imaging8% of their works
  5. 5Information Systems8% of their works
  6. 6Computer Science Applications8% of their works

Research topics

Which keywords describe Paul S. LaFollette's research?

The keywords of their largest research topics: Compression, Machine Learning, Suffix Arrays, Code Clone Detection, Computational Thinking, Programming Education, Refactoring and Fiber Bragg Grating.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 17 words, with their numbers
  1. Compression61 topic
  2. Machine Learning62 topics
  3. Suffix Arrays61 topic
  4. Code Clone Detection41 topic
  5. Computational Thinking41 topic
  6. Programming Education41 topic
  7. Refactoring41 topic
  8. Fiber Bragg Grating31 topic
  9. Photoacoustic Imaging31 topic
  10. Spectral Amplitude Coding31 topic
  11. Tissue Elasticity Mapping31 topic
  12. Tomography31 topic
  13. Ultrasound Elastography31 topic
  14. Evolutionary Genomics21 topic
  15. Genomic Rearrangements21 topic
  16. Python21 topic
  17. Scientific Computing21 topic

Where does Paul S. LaFollette work?

Paul S. LaFollette's main affiliation in the publication record is Temple University, United States.

How many publications and citations does Paul S. LaFollette have?

OpenAlex counts 19 works and 229 citations for Paul S. LaFollette, an h-index of 9, ranking #4,926,555 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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